EER Poland

Kernel Developer

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SeniorOn-site·GdańskFull-time·Umowa o pracę

#411206·Dodano dwa miesiące temu·12

Źródło: EER Poland

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Tech Stack / Keywords

C/C++AILinuxArchitectureCUDAOpenCL

Podsumowanie oferty

We are looking for a **C/**C++ engineer to design and optimize high-performance compute kernels for AI accelerators, focusing on user-space compute kernels for tensor operations used in deep learning workloads. The role involves working at the lowest level of AI performance engineering, where software meets specialized hardware. Responsibilities include designing, implementing, and optimizing compute kernels to improve latency, throughput, and efficiency on AI accelerators.

Wymagania

Strong proficiency in **C/**C++
Experience with performance-critical software development
Strong understanding of low-level optimization techniques
Understanding of CPU/GPU or accelerator architecture fundamentals
Ability to analyze and debug complex systems
Experience working with large, complex codebases
Strong communication and teamwork skills

Nice to have:

Experience with GPU kernel programming (CUDA / ROCm / OpenCL)
Experience with Triton or similar kernel programming frameworks
Knowledge of instruction set architectures (ISA)
Familiarity with compiler technologies (e.g., LLVM-based stacks)
Experience with distributed communication frameworks (NCCL, MPI, libfabric)
Understanding of deep learning models

Obowiązki

Design and implement high-performance compute (operator) kernels in **C/**C++
Develop core tensor operations
Optimize performance for AI accelerators, focusing on latency, throughput, and efficiency
Apply low-level optimization techniques
Profile, benchmark, and tune kernels to eliminate performance bottlenecks
Contribute to internal libraries and runtime systems for AI workloads

Benefity

Highly competitive salary with employment contract (Umowa o Pracę)
Comprehensive benefits package including Medicover healthcare coverage
Opportunity to work on performance-critical compute layer for next-generation AI accelerators
Direct impact on deep learning model efficiency and latency
Collaboration with experts in hardware, compilers, and systems
Challenging low-level performance engineering problems at the hardware–software boundary

Opieka zdrowotna

EER Poland

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